Data Engineer

Develop and maintain technology infrastructure and processes for data collection, storage, reporting, and analysis. Examples of work performed:

• Creates and maintains data infrastructure to include databases, data lakes, and data warehouses.
• Develops and maintains business processes to acquire, transform, store, optimize, and extract data from a wide variety of sources.
• Adopts methodologies to ensure data quality, efficiency, and reliability.
• Maintains security and compliance initiatives for data.
• Documents all processes and technologies for data operations.
• Participates in and ensures compliance with all data governance activities to include security, privacy, quality, and retention.
• Works collaboratively with other employees involved in the reporting, analysis, and auditing functions for data.
• Researches and troubleshoots deviations from normal operations.
• Provides cost efficiencies related to storage mechanisms and toolsets for data operations.

This description is a summary only and describes the general level of work being performed, it is not intended to be all-inclusive. The duties of this position may change from time to time and/or based on business needs. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority. Working Conditions & Physical Demands:

• Typical Office Conditions
• Lift 10 lbs. daily

• 3 years of experience working in a professional capacity with responsibility for data operations (to include any of the following: data engineering, database management, ETL/ELT, data warehousing, data management).
• Advanced understanding of set theory and proficiency in data design/modeling.
• Experience with database architecture and data warehouse design.
• Experience with developing cost-effective data storage strategies.
• Strong SQL skills including TSQL, stored procedures, functions, views, and table design.
• Proficiency with data programming languages such as Python.
• Demonstrated success with data project implementations.
• Ability to work collaboratively with business analysts, project managers, cloud architects, data analysts, and auditors.
• Applicants must meet minimum qualifications at the time of hire.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Accounting, Finance, or similar.
• Preferred
• Master's degree in computer science, Data Science, Information Systems, Accounting, Finance, or similar

Competencies/Knowledge, Skills & Abilities

• Ability to maintain positive attitude and demonstrate professionalism
• Ability to maintain a high level of confidentiality
• Ability to complete work accurately and in a timely manner
• Ability to work independently & in a group setting and demonstrate good judgment skills
• Ability to communicate effectively orally and in writing
• Possesses excellent interpersonal skills
• Ability to multi-task, prioritize and adapt to changing environments

• $75,000 to $95,000

Benefits Include

• 12 Paid Company Holidays
• Health Insurance (Medical, Dental, Vision)
• Paid Time Off (PTO)
• Life Insurance
• Short and Long-term Disability
• Health Savings Account (HSA)
• Flexible Spending plans (FSAs)
• 401K plan